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AI Tools Usage

AI Insights gives you a real-time view of how AI is used across your codebase. See issues flagged during reviews, track adoption across commits and PRs, and measure usage of tools like GitHub Copilot and Cursor. Interactive charts let you drill into details such as active users, acceptance rates, and lines written. Metrics exclude bots and chat-based automation, giving you an accurate picture of true developer + AI collaboration.

Steven Silverstone
Updated by Steven Silverstone

AI Tools Usage

This panel measures usage of AI development tools in your organization. LinearB currently supports GitHub Copilot and Cursor.

For each tool, the following metrics are available:

  • Active users – number of developers actively using the tool. Measured by counting developers who accept AI code suggestions, use AI chat, or trigger PR summaries. Authentication-only events are excluded.
  • Acceptance rate – percentage of AI suggestions accepted into code. Measured by comparing the number of AI suggestions offered vs. accepted.
  • Code acceptance – a trend chart showing how many lines of code generated by AI were accepted over time. Measured by calculating the number of lines accepted from AI suggestions, grouped by day.
Chatbot and bot accounts are excluded from all metrics.

GitHub Copilot

LinearB tracks usage of GitHub Copilot using GitHub’s official Usage API.

  • Active Users – Total number of Copilot users with any activity in a given day, including receiving a suggestion, accepting a suggestion, or prompting chat. Authentication-only events are excluded.
  • Engaged Users – Users who actively interacted with Copilot features, such as accepting suggestions, prompting chat, or triggering a PR Summary. Authentication-only events are excluded.
  • Acceptance Rate – Percentage of Copilot suggestions accepted into code.
  • Code Acceptance (trend chart) – Trend of accepted Copilot-generated lines over time, grouped by day.

Cursor

  • Active Users – Developers using Cursor daily.
  • Code Acceptance (trend chart) – Number of AI-generated code lines accepted, grouped by day.

Deeper Visibility into Coding Behavior

The AI Tools Usage panel (currently limited to GitHub Copilot) gives deeper visibility into coding behavior:

  • Active Users (%)
    • Percentage of developers actively using Copilot.
    • Click to see the number of users who are not using Copilot.
  • Acceptance Rate (%)
    • How often Copilot’s suggestions are accepted.
    • Click to see the breakdown of accepted vs. rejected suggestions.
  • Lines Written
    • Trend of accepted Copilot-generated lines over time.
    • Hover or click to see the number of lines written by date.

This allows you to quickly move from high-level percentages to the underlying counts and trends.

Example: If Active Users are high but Acceptance Rate is low, developers may not trust Copilot’s suggestions yet. If both trend upward, Copilot is delivering real value.

Adoption Funnel

The AI Tools Usage panel also provides a complete adoption funnel:

  1. Are developers trying Copilot?
  2. Are its suggestions being trusted?
  3. Is it driving meaningful code volume?

If a developer uses Copilot as a co-author, their work is included here as AI-assisted. Chatbot activity is not included.

How did we do?

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